Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "324"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 324 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 34 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 34 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 324, Node N04:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2460017 not_connected 0.00% 0.00% 0.00% 0.00% - - 1.837520 2.600670 0.868246 1.219479 -0.108438 1.250562 -1.363831 -1.667770 0.4315 0.4399 0.3276 nan nan
2460016 not_connected 0.00% 0.00% 0.00% 0.00% - - 2.084562 2.814076 0.802078 1.286482 0.137417 1.030838 -1.766462 -2.117889 0.4417 0.4454 0.3317 nan nan
2460015 not_connected 0.00% 0.00% 0.00% 0.00% - - 2.150681 3.231020 0.946716 1.335508 0.137061 1.446293 0.007702 -1.724308 0.4541 0.4549 0.3295 nan nan
2460014 not_connected 0.00% 0.00% 0.00% 0.00% - - 1.736776 3.673923 0.677873 1.074414 0.813650 1.394543 0.016450 -1.635084 0.4378 0.4562 0.3369 nan nan
2460013 not_connected 0.00% 0.00% 0.00% 0.00% - - 2.189690 3.265955 0.987797 1.464082 0.360648 1.370099 -1.447041 -2.467555 0.4472 0.4554 0.3386 nan nan
2460012 not_connected 0.00% 0.00% 0.00% 0.00% - - 1.965141 3.122067 0.845748 1.287316 0.464405 1.629276 -1.232936 -2.239381 0.4460 0.4515 0.3339 nan nan
2460011 not_connected 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2460010 not_connected 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2460009 not_connected 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2460008 not_connected 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2460007 not_connected 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2459999 not_connected 0.00% 99.83% 99.58% 0.00% - - nan nan nan nan nan nan nan nan 0.0941 0.1298 0.0477 nan nan
2459998 not_connected 0.00% 0.00% 0.00% 0.00% - - 2.479924 2.394523 1.108620 1.151721 0.580499 1.383838 -1.513909 -1.797253 0.4699 0.4926 0.3656 nan nan
2459997 not_connected 0.00% 0.00% 0.00% 0.00% - - 2.574933 2.543156 1.079681 1.283812 0.560727 1.486707 -0.787013 -2.697645 0.4837 0.5087 0.3695 nan nan
2459996 not_connected 100.00% 0.00% 0.00% 0.00% - - 2.716104 3.178144 1.013222 1.464214 0.891336 1.491083 4.569019 -0.165034 0.4870 0.5123 0.3837 nan nan
2459995 not_connected 0.00% 0.00% 0.00% 0.00% - - 2.713023 2.908498 1.056221 1.396599 0.553694 1.547467 1.585350 -1.149964 0.4796 0.5060 0.3682 nan nan
2459994 not_connected 0.00% 0.00% 0.00% 0.00% - - 2.572179 2.647292 1.032586 1.237634 0.760569 1.406670 -0.101387 -1.313952 0.4755 0.4976 0.3633 nan nan
2459993 not_connected 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2459991 not_connected 0.00% 0.00% 0.00% 0.00% - - 3.345950 3.161247 1.185306 1.450579 0.926293 1.502930 2.107581 -0.531944 0.4833 0.4997 0.3719 nan nan
2459990 not_connected 0.00% 0.00% 0.00% 0.00% - - 2.583087 2.723253 1.180856 1.561671 1.042286 1.590087 0.983441 -1.040738 0.4813 0.5013 0.3692 nan nan
2459989 not_connected 0.00% 0.00% 0.00% 0.00% - - 2.402195 2.698978 1.261329 1.354428 0.965687 0.854474 0.758204 -0.872899 0.4760 0.4996 0.3726 nan nan
2459988 not_connected 100.00% 100.00% 100.00% 0.00% - - 163.346173 163.562385 inf inf 3192.368937 3189.216834 4941.769021 5009.022820 nan nan nan nan nan
2459987 not_connected 0.00% 0.00% 0.00% 0.00% - - 2.461227 2.591568 1.041270 1.258375 0.430221 0.910491 0.035785 -0.774657 0.4910 0.5125 0.3631 nan nan
2459986 not_connected 0.00% 0.00% 0.00% 0.00% - - 3.109820 3.418786 1.187096 1.446847 1.057317 1.408352 0.936537 -0.772849 0.5122 0.5375 0.3317 nan nan
2459985 not_connected 0.00% 0.00% 0.00% 0.00% - - 2.715459 2.758972 0.966905 0.901745 0.548662 0.560096 2.739750 0.443536 0.4871 0.5077 0.3707 nan nan
2459984 not_connected 0.00% 0.00% 0.00% 0.00% - - 2.067631 3.210835 0.987964 1.234048 1.102378 2.226959 0.832473 -0.038465 0.5011 0.5224 0.3580 nan nan
2459983 not_connected 0.00% 0.00% 0.00% 0.00% - - 1.763404 2.777077 1.057731 1.528225 0.937420 1.689830 1.403582 -0.164690 0.5039 0.5249 0.3493 nan nan
2459982 not_connected 0.00% 0.00% 0.00% 0.00% - - 2.228717 2.562804 0.503299 0.837327 -0.586397 -0.442050 -0.183627 -0.815733 0.5692 0.5664 0.3059 nan nan
2459981 not_connected 0.00% 0.00% 0.00% 0.00% - - 1.395261 2.374941 1.302114 1.814793 1.116076 1.705170 1.287893 -0.825419 0.4922 0.5081 0.3698 nan nan
2459980 not_connected 0.00% 0.00% 0.00% 0.00% - - 1.434894 2.211005 0.859606 1.156633 0.971604 1.048155 -0.188494 -0.526344 0.5606 0.5685 0.2984 nan nan
2459979 not_connected 0.00% 0.00% 0.00% 0.00% - - 1.716443 2.294303 0.946576 1.151614 0.542243 0.546292 -0.165614 -1.191000 0.4875 0.5062 0.3705 nan nan
2459978 not_connected 0.00% 0.00% 0.00% 0.00% - - 1.410492 2.409503 1.113537 1.437986 0.853572 1.015987 0.434632 -1.072603 0.4848 0.5014 0.3782 nan nan
2459977 not_connected 0.00% 0.00% 0.00% 0.00% - - 1.836194 2.628968 0.863783 1.145672 0.927065 1.159527 1.010869 -0.434135 0.4511 0.4627 0.3339 nan nan
2459976 not_connected 0.00% 0.00% 0.00% 0.00% - - 1.447638 2.451118 1.059243 1.440892 0.600553 1.081082 1.762664 -0.698547 0.4972 0.5129 0.3663 nan nan

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 324: 2460017

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
324 N04 not_connected nn Shape 2.600670 2.600670 1.837520 1.219479 0.868246 1.250562 -0.108438 -1.667770 -1.363831

Antenna 324: 2460016

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
324 N04 not_connected nn Shape 2.814076 2.814076 2.084562 1.286482 0.802078 1.030838 0.137417 -2.117889 -1.766462

Antenna 324: 2460015

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
324 N04 not_connected nn Shape 3.231020 3.231020 2.150681 1.335508 0.946716 1.446293 0.137061 -1.724308 0.007702

Antenna 324: 2460014

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
324 N04 not_connected nn Shape 3.673923 1.736776 3.673923 0.677873 1.074414 0.813650 1.394543 0.016450 -1.635084

Antenna 324: 2460013

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
324 N04 not_connected nn Shape 3.265955 2.189690 3.265955 0.987797 1.464082 0.360648 1.370099 -1.447041 -2.467555

Antenna 324: 2460012

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
324 N04 not_connected nn Shape 3.122067 1.965141 3.122067 0.845748 1.287316 0.464405 1.629276 -1.232936 -2.239381

Antenna 324: 2460011

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
324 N04 not_connected ee Shape nan nan nan inf inf nan nan nan nan

Antenna 324: 2460010

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
324 N04 not_connected ee Shape nan nan nan inf inf nan nan nan nan

Antenna 324: 2460009

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
324 N04 not_connected ee Shape nan nan nan inf inf nan nan nan nan

Antenna 324: 2460008

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
324 N04 not_connected nn Shape nan nan nan inf inf nan nan nan nan

Antenna 324: 2460007

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
324 N04 not_connected ee Shape nan nan nan inf inf nan nan nan nan

Antenna 324: 2459999

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
324 N04 not_connected nn Shape nan nan nan nan nan nan nan nan nan

Antenna 324: 2459998

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
324 N04 not_connected ee Shape 2.479924 2.479924 2.394523 1.108620 1.151721 0.580499 1.383838 -1.513909 -1.797253

Antenna 324: 2459997

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
324 N04 not_connected ee Shape 2.574933 2.574933 2.543156 1.079681 1.283812 0.560727 1.486707 -0.787013 -2.697645

Antenna 324: 2459996

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
324 N04 not_connected ee Temporal Discontinuties 4.569019 2.716104 3.178144 1.013222 1.464214 0.891336 1.491083 4.569019 -0.165034

Antenna 324: 2459995

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
324 N04 not_connected nn Shape 2.908498 2.713023 2.908498 1.056221 1.396599 0.553694 1.547467 1.585350 -1.149964

Antenna 324: 2459994

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
324 N04 not_connected nn Shape 2.647292 2.572179 2.647292 1.032586 1.237634 0.760569 1.406670 -0.101387 -1.313952

Antenna 324: 2459993

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
324 N04 not_connected ee Shape nan nan nan inf inf nan nan nan nan

Antenna 324: 2459991

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
324 N04 not_connected ee Shape 3.345950 3.345950 3.161247 1.185306 1.450579 0.926293 1.502930 2.107581 -0.531944

Antenna 324: 2459990

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
324 N04 not_connected nn Shape 2.723253 2.723253 2.583087 1.561671 1.180856 1.590087 1.042286 -1.040738 0.983441

Antenna 324: 2459989

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
324 N04 not_connected nn Shape 2.698978 2.698978 2.402195 1.354428 1.261329 0.854474 0.965687 -0.872899 0.758204

Antenna 324: 2459988

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
324 N04 not_connected nn Power inf 163.562385 163.346173 inf inf 3189.216834 3192.368937 5009.022820 4941.769021

Antenna 324: 2459987

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
324 N04 not_connected nn Shape 2.591568 2.461227 2.591568 1.041270 1.258375 0.430221 0.910491 0.035785 -0.774657

Antenna 324: 2459986

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
324 N04 not_connected nn Shape 3.418786 3.418786 3.109820 1.446847 1.187096 1.408352 1.057317 -0.772849 0.936537

Antenna 324: 2459985

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
324 N04 not_connected nn Shape 2.758972 2.758972 2.715459 0.901745 0.966905 0.560096 0.548662 0.443536 2.739750

Antenna 324: 2459984

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
324 N04 not_connected nn Shape 3.210835 2.067631 3.210835 0.987964 1.234048 1.102378 2.226959 0.832473 -0.038465

Antenna 324: 2459983

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
324 N04 not_connected nn Shape 2.777077 1.763404 2.777077 1.057731 1.528225 0.937420 1.689830 1.403582 -0.164690

Antenna 324: 2459982

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
324 N04 not_connected nn Shape 2.562804 2.228717 2.562804 0.503299 0.837327 -0.586397 -0.442050 -0.183627 -0.815733

Antenna 324: 2459981

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
324 N04 not_connected nn Shape 2.374941 2.374941 1.395261 1.814793 1.302114 1.705170 1.116076 -0.825419 1.287893

Antenna 324: 2459980

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
324 N04 not_connected nn Shape 2.211005 2.211005 1.434894 1.156633 0.859606 1.048155 0.971604 -0.526344 -0.188494

Antenna 324: 2459979

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
324 N04 not_connected nn Shape 2.294303 1.716443 2.294303 0.946576 1.151614 0.542243 0.546292 -0.165614 -1.191000

Antenna 324: 2459978

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
324 N04 not_connected nn Shape 2.409503 2.409503 1.410492 1.437986 1.113537 1.015987 0.853572 -1.072603 0.434632

Antenna 324: 2459977

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
324 N04 not_connected nn Shape 2.628968 1.836194 2.628968 0.863783 1.145672 0.927065 1.159527 1.010869 -0.434135

Antenna 324: 2459976

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
324 N04 not_connected nn Shape 2.451118 2.451118 1.447638 1.440892 1.059243 1.081082 0.600553 -0.698547 1.762664
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